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Case study notes[1]
Learn this first, in this order:
- Neural networks
- Recurrent neural network (RNN)
- Large language model (LLM)
- Hyperparameter tuning
- Backpropagation through time (BPTT)
- Deep learning
- Transformer neural network (transformer NN)
Then this:
- Bag-of-words
- Dataset
- Graphical processing unit (GPU)
- Latency
- Long short-term memory (LSTM)
- Loss function
- Memory cell state
- Natural language processing
- Discourse integration
- Lexical analysis
- Pragmatic analysis
- Semantic analysis
- Syntactical analysis (parsing)
- Natural language understanding (NLU)
- Pre-processing
- Self-attention mechanism
- Synthetic data
- Tensor processing unit (TPU)
- Vanishing gradient
- Weights